A couple of weeks ago I spent the week in Las Vegas at the Amazon Web Services (AWS) re:Invent conference, and we shared a few of my interviews from the event in our AWS re:Invent Series. I’ll share a bit of the news coming out of the event in this post, but if you’re interested…

On Friday we published episode number 200 of the TWiML Talk podcast. That achievement, along with the fact that tomorrow is Thanksgiving here in the U.S., seems like a worthy prompt for a bit of, well, giving thanks. When I think of giving thanks today, there is a growing list of groups that I really…

“AI Platforms Month” continues on the podcast with our in-depth coverage of scaling machine learning in the enterprise. I’m super-excited about what we’ve done here, and I really hope you’re enjoying it! If you’ve been following the series, you’ve already heard great interviews with folks from Facebook, Airbnb, and OpenAI. The back end of the…

This week we kicked off our AI Platforms podcast series with interviews with Facebook’s Aditya Kalro and Airbnb’s Atul Kale. We also announced our upcoming eBooks on the same topic. The podcasts and eBooks grew out of my recent observations about the state of ML and AI development in the enterprise. I wrote a bit…

Bits & Bytes ONNX Runtime for ML inference now in preview. Microsoft released a preview of the ONNX Runtime, a high-performance inference engine for Open Neural Network Exchange (ONNX) models. It is compatible with ONNX version 1.2 and comes in Python packages that support both CPU and GPU. Uber describes new platform for rapid Python ML development. Uber shared Michelangelo PyML, an…

One of the exciting aspects of my day-to-day work involves understanding the way large companies are adopting machine learning, deep learning, and AI. I do quite a bit of this via interviews, and I’m excited to be able to bring you along for the ride by publishing many of them as podcasts. One of the…

As many of you know, part of my work involves understanding the way large companies are adopting machine learning, deep learning and AI. While it’s still fairly early in the game, we’re at a really interesting time for many companies. With the first wave of ML projects at early adopter enterprises starting to mature, many…